Senior Data Analyst

Responsibilities

Analyze data processes to understand, document, and revise those processes
Analyze, clean, and study data to achieve specific project outcomes
Lead discovery, requirements gathering, and analysis sessions with clients to understand data needs
Translate client data requirements into actions that support the development of data solutions
Work within project teams, typically consisting of 3–5 people, to deliver client data projects
Establish patterns and best practices for data analysis, transformation, cleansing, and requirements translation
Identify and support data governance policies and procedures to ensure data confidentiality, integrity, and availability
Stay current on emerging technologies and recommend improvements to data management and analytics capabilities

Strong verbal and written communication skills tying together technology and architecture to achieve business outcomes
At least 2 years of consulting experience in a data analyst role
At least 5 years of experience in data and analytics or closely related fields
At least 2 years of experience working with SQL
Understanding of data management and data visualization practices
Knowledge of ETL/ELT tools and concepts such as data mappings, transformations, and pipeline orchestration
Proficiency with data modeling and data analysis tools
Basic knowledge of data architecture concepts including storage, engineering, modeling, performance, and governance
Strong problem solving and time management skills

Experience with the Microsoft SQL technology stack including SQL Server, SSIS, and SSRS
Experience with Microsoft Azure data platforms such as Power BI, Fabric, Synapse, and Data Factory
Experience working in Azure DevOps with Boards, Repos, and Pipelines
Experience with Microsoft Dynamics 365 and its data
Experience performing Quality Assurance activities for data applications and reporting